We present a new and unique paraphrase resource, which contains meaningpreserving transformations between informal user-generated text. Sentential paraphrases are extracted from a comparable corpus of temporally and topically related messages on Twitter which often express semantically identical information through distinct surface forms. We demonstrate the utility of this new resource on the t...

This paper studies the potential of extracting lexical paraphrases from a single corpus, focusing on the extraction of verb paraphrases. Most previous approaches detect individual paraphrase instances within a pair (or set) of comparable corpora, each of them containing roughly the same information, and rely on the substantial level of correspondence of such corpora. We present a novel method t...

Paraphrase generation can be regarded as machine translation where source and target language are the same. We use the Moses statistical machine translation toolkit for paraphrasing, comparing phrase-based to syntax-based approaches. Data is derived from a recently released, large scale (2.1M tokens) paraphrase corpus for Dutch. Preliminary results indicate that the phrase-based approach perfor...

Paraphrases are alternative syntactic forms in the same language expressing the same semantic content. Speakers of all languages are inherently familiar with paraphrases at different levels of granularity (lexical, phrasal, and sentential). For quite some time, the concept of paraphrasing is getting a growing attention by the research community and its potential use in several natural language ...

This paper introduces an attempt at collecting a corpus of various usages of Japanese predicates and synonymous expressions in English. We have learned that an effective consideration to exhaustively collect such various usages is to continue to create new sentences until no more sentences can be conceived within one language. We have found that an effective way of collecting synonymous express...

A study of paraphrase along 3 dimensions : corpus types, languages and techniques In this paper, we report a detailed study of the impact of corpus type on the task of sub-sentential paraphrase acquisition. Our experiments are for 2 languages and 4 corpus types, and involve an efficient machine learning-based combination of 4 paraphrase acquisition systems. We obtain relative improvements of mo...

Existing paraphrase systems either create successive drafts from an underlying representation , or they aim to correct texts. A diierent kind of paraphrase, also reeecting a real-world task, involves imposing, on an original text, external constraints in terms of length, read-ability, etc. This sort of paraphrase requires a new framework which allows production of a new text satisfying the cons...

An obstacle to research in automatic paraphrase identification and generation is the lack of large-scale, publiclyavailable labeled corpora of sentential paraphrases. This paper describes the creation of the recently-released Microsoft Research Paraphrase Corpus, which contains 5801 sentence pairs, each hand-labeled with a binary judgment as to whether the pair constitutes a paraphrase. The cor...